Integrative labeling based statistical color models with application to skin detection. - Mingzhi Dong; Liang Yin; Jun Guo 002; Weihong Deng; Weiran Xu (ICIP, 2012)

A Computationally Efficient Algorithm for Building Statistical Color Models. - Mingzhi Dong; Liang Yin; Weihong Deng; Jun Guo 002; Weiran Xu (ICME Workshops, 2012)

Statistical Color Model Based Adult Video Filter. - Liang Yin; Mingzhi Dong; Weihong Deng; Jun Guo 002; Bin Zhang (ICME Workshops, 2012)

A Linear Max K-min classifier. - Mingzhi Dong; Liang Yin; Weihong Deng; Qiang Wang 048; Caixia Yuan; Jun Guo 002; Li Shang; Liwei Ma (ICPR, 2012)

A Maximum K-Min Approach for Classification. - Mingzhi Dong; Liang Yin (AAAI, 2013)

A Maximum K-Min Approach for Classification. - Mingzhi Dong; Liang Yin; Weihong Deng; Li Shang; Jun Guo 002; Honggang Zhang 002 (AAAI, 2013)

A multi-label classification approach for Facial Expression Recognition. - Kaili Zhao; Honggang Zhang 002; Mingzhi Dong; Jun Guo 002; Yonggang Qi; Yi-Zhe Song (VCIP, 2013)

A high-performance training-free approach for hand gesture recognition with accelerometer. - Liang Yin; Mingzhi Dong; Ying Duan; Weihong Deng; Kaili Zhao; Jun Guo 002 (Multim. Tools Appl., 2014)

Spectral Nonlocal Restoration of Hyperspectral Images With Low-Rank Property. - Rui Zhu 006; Mingzhi Dong; Jing-Hao Xue (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2015)

Transferring CNNS to multi-instance multi-label classification on small datasets. - Mingzhi Dong; Kunkun Pang; Yang Wu 001; Jing-Hao Xue; Timothy M. Hospedales; Tsukasa Ogasawara (ICIP, 2017)

Dynamic Ensemble Active Learning: A Non-Stationary Bandit with Expert Advice. - Kunkun Pang; Mingzhi Dong; Yang Wu 001; Timothy M. Hospedales (ICPR, 2018)

Metric Learning via Maximizing the Lipschitz Margin Ratio. - Mingzhi Dong; Xiaochen Yang; Yang Wu 001; Jing-Hao Xue (CoRR, 2018)

Meta-Learning Transferable Active Learning Policies by Deep Reinforcement Learning. - Kunkun Pang; Mingzhi Dong; Yang Wu 001; Timothy M. Hospedales (CoRR, 2018)

Learning distance to subspace for the nearest subspace methods in high-dimensional data classification. - Rui Zhu 006; Mingzhi Dong; Jing-Hao Xue (Inf. Sci., 2019)

Dynamic Face Video Segmentation via Reinforcement Learning. - Yujiang Wang 001; Mingzhi Dong; Jie Shen 008; Yang Wu 001; Shiyang Cheng 001; Maja Pantic (CVPR, 2020)

Generalization Bound of Gradient Descent for Non-Convex Metric Learning. - Mingzhi Dong; Xiaochen Yang; Rui Zhu 006; Yujiang Wang 001; Jing-Hao Xue (NeurIPS, 2020)

Metric Learning for Categorical and Ambiguous Features: An Adversarial Method. - Xiaochen Yang; Mingzhi Dong; Yiwen Guo; Jing-Hao Xue (ECML/PKDD (2), 2020)

Dilated Convolutions with Lateral Inhibitions for Semantic Image Segmentation. - Yujiang Wang 001; Mingzhi Dong; Jie Shen 008; Yiming Lin 001; Maja Pantic (CoRR, 2020)

Towards Certified Robustness of Metric Learning. - Xiaochen Yang; Yiwen Guo; Mingzhi Dong; Jing-Hao Xue (CoRR, 2020)

Learning Local Metrics and Influential Regions for Classification. - Mingzhi Dong; Yujiang Wang 001; Xiaochen Yang; Jing-Hao Xue (IEEE Trans. Pattern Anal. Mach. Intell., 2020)

Data-augmented matched subspace detector for hyperspectral subpixel target detection. - Xiaochen Yang; Mingzhi Dong; Ziyu Wang 003; Lianru Gao; Lefei Zhang; Jing-Hao Xue (Pattern Recognit., 2020)

MemX: An Attention-Aware Smart Eyewear System for Personalized Moment Auto-capture. - Yuhu Chang; Yingying Zhao; Mingzhi Dong; Yujiang Wang 001; Yutian Lu; Qin Lv; Robert P. Dick; Tun Lu; Ning Gu; Li Shang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

Floorplanning with graph attention. - Yiting Liu; Ziyi Ju; Zhengming Li; Mingzhi Dong; Hai Zhou 001; Jia Wang 003; Fan Yang 001; Xuan Zeng 001; Li Shang (DAC, 2022)

Recursive Disentanglement Network. - Yixuan Chen 003; Yubin Shi; Dongsheng Li 002; Yujiang Wang 001; Mingzhi Dong; Yingying Zhao; Robert P. Dick; Qin Lv; Fan Yang 001; Li Shang (ICLR, 2022)

Do Smart Glasses Dream of Sentimental Visions?: Deep Emotionship Analysis for Eyewear Devices. - Yingying Zhao; Yuhu Chang; Yutian Lu; Yujiang Wang 001; Mingzhi Dong; Qin Lv; Robert P. Dick; Fan Yang 001; Tun Lu; Ning Gu; Li Shang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear. - Yingying Zhao; Ning Li; Wentao Pan; Yujiang Wang 001; Mingzhi Dong; Sharon Xianghua Ding; Qin Lv; Robert P. Dick; Dongsheng Li 002; Fan Yang 001; Tun Lu; Ning Gu; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline. - Yingying Zhao; Mingzhi Dong; Yujiang Wang 001; Da Feng; Qin Lv; Robert P. Dick; Dongsheng Li 002; Tun Lu; Ning Gu; Li Shang (IEEE Trans. Multim., 2022)

Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition. - Yixuan Chen 003; Yubin Shi; Mingzhi Dong; Xiaochen Yang; Dongsheng Li 002; Yujiang Wang 001; Robert P. Dick; Qin Lv; Yingying Zhao; Fan Yang 001; Ning Gu; Li Shang (ICLR, 2023)

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models. - Yubin Shi; Yixuan Chen 003; Mingzhi Dong; Xiaochen Yang; Dongsheng Li 002; Yujiang Wang 001; Robert P. Dick; Qin Lv; Yingying Zhao; Fan Yang 001; Tun Lu; Ning Gu; et al. (NeurIPS, 2023)

Is dataset condensation a silver bullet for healthcare data sharing? - Yujiang Wang 001; Anshul Thakur; Mingzhi Dong; Pingchuan Ma 001; Stavros Petridis; Li Shang; Tingting Zhu 001; David A. Clifton (CoRR, 2023)

GraphPlanner: Floorplanning with Graph Neural Network. - Yiting Liu; Ziyi Ju; Zhengming Li; Mingzhi Dong; Hai Zhou 001; Jia Wang 003; Fan Yang 001; Xuan Zeng 001; Li Shang (ACM Trans. Design Autom. Electr. Syst., 2023)

CASES: A Cognition-Aware Smart Eyewear System for Understanding How People Read. - Xiangyao Qi; Qi Lu; Wentao Pan; Yingying Zhao; Rui Zhu 006; Mingzhi Dong; Yuhu Chang; Qin Lv; Robert P. Dick; Fan Yang 001; Tun Lu; Ning Gu; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Self-Supervised Video-Centralised Transformer for Video Face Clustering. - Yujiang Wang 001; Mingzhi Dong; Jie Shen 008; Yiming Luo; Yiming Lin 001; Pingchuan Ma 001; Stavros Petridis; Maja Pantic (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge. - Fang Dong; Mengyi Chen; Jixian Zhou; Yubin Shi; Yixuan Chen 003; Mingzhi Dong; Yujiang Wang 001; Dongsheng Li 002; Xiaochen Yang; Rui Zhu 006; Robert P. Dick; Qin Lv; et al. (NeurIPS, 2024)

Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation. - Chenyu Wang; Shuo Yan; Yixuan Chen 003; Yujiang Wang 001; Mingzhi Dong; Xiaochen Yang; Dongsheng Li 002; Robert P. Dick; Qin Lv; Fan Yang 001; Tun Lu; Ning Gu; et al. (CoRR, 2024)

Toward Certified Robustness of Distance Metric Learning. - Xiaochen Yang; Yiwen Guo; Mingzhi Dong; Jing-Hao Xue (IEEE Trans. Neural Networks Learn. Syst., 2024)

Can Large Language Models Be Good Companions?: An LLM-Based Eyewear System with Conversational Common Ground. - Zhenyu Xu; Hailin Xu; Zhouyang Lu; Yingying Zhao; Rui Zhu 006; Yujiang Wang 001; Mingzhi Dong; Yuhu Chang; Qin Lv; Robert P. Dick; Fan Yang 001; Tun Lu; et al. (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2024)